path: root/contrib/tools/cython/Cython/Shadow.py

# cython.* namespace for pure mode.
from __future__ import absolute_import 

__version__ = "0.29.27"

try: 
    from __builtin__ import basestring 
except ImportError: 
    basestring = str 
 
 
# BEGIN shameless copy from Cython/minivect/minitypes.py

class _ArrayType(object):

    is_array = True
    subtypes = ['dtype']

    def __init__(self, dtype, ndim, is_c_contig=False, is_f_contig=False,
                 inner_contig=False, broadcasting=None):
        self.dtype = dtype
        self.ndim = ndim
        self.is_c_contig = is_c_contig
        self.is_f_contig = is_f_contig
        self.inner_contig = inner_contig or is_c_contig or is_f_contig
        self.broadcasting = broadcasting

    def __repr__(self):
        axes = [":"] * self.ndim
        if self.is_c_contig:
            axes[-1] = "::1"
        elif self.is_f_contig:
            axes[0] = "::1"

        return "%s[%s]" % (self.dtype, ", ".join(axes))


def index_type(base_type, item):
    """
    Support array type creation by slicing, e.g. double[:, :] specifies
    a 2D strided array of doubles. The syntax is the same as for
    Cython memoryviews.
    """
    class InvalidTypeSpecification(Exception):
        pass

    def verify_slice(s):
        if s.start or s.stop or s.step not in (None, 1):
            raise InvalidTypeSpecification(
                "Only a step of 1 may be provided to indicate C or "
                "Fortran contiguity")

    if isinstance(item, tuple):
        step_idx = None
        for idx, s in enumerate(item):
            verify_slice(s)
            if s.step and (step_idx or idx not in (0, len(item) - 1)):
                raise InvalidTypeSpecification(
                    "Step may only be provided once, and only in the "
                    "first or last dimension.")

            if s.step == 1:
                step_idx = idx

        return _ArrayType(base_type, len(item),
                          is_c_contig=step_idx == len(item) - 1,
                          is_f_contig=step_idx == 0)
    elif isinstance(item, slice): 
        verify_slice(item)
        return _ArrayType(base_type, 1, is_c_contig=bool(item.step))
    else: 
        # int[8] etc. 
        assert int(item) == item  # array size must be a plain integer 
        array(base_type, item) 

# END shameless copy


compiled = False

_Unspecified = object()

# Function decorators

def _empty_decorator(x):
    return x

def locals(**arg_types):
    return _empty_decorator

def test_assert_path_exists(*paths):
    return _empty_decorator

def test_fail_if_path_exists(*paths):
    return _empty_decorator

class _EmptyDecoratorAndManager(object):
    def __call__(self, x):
        return x
    def __enter__(self):
        pass
    def __exit__(self, exc_type, exc_value, traceback):
        pass

class _Optimization(object): 
    pass 
 
cclass = ccall = cfunc = _EmptyDecoratorAndManager()

returns = wraparound = boundscheck = initializedcheck = nonecheck = \ 
    embedsignature = cdivision = cdivision_warnings = \ 
    always_allows_keywords = profile = linetrace = infer_types = \
    unraisable_tracebacks = freelist = \ 
        lambda _: _EmptyDecoratorAndManager()

exceptval = lambda _=None, check=True: _EmptyDecoratorAndManager()

overflowcheck = lambda _: _EmptyDecoratorAndManager() 
optimization = _Optimization() 

overflowcheck.fold = optimization.use_switch = \ 
    optimization.unpack_method_calls = lambda arg: _EmptyDecoratorAndManager() 
 
final = internal = type_version_tag = no_gc_clear = no_gc = _empty_decorator 
 
binding = lambda _: _empty_decorator
 

_cython_inline = None 
def inline(f, *args, **kwds):
    if isinstance(f, basestring): 
        global _cython_inline 
        if _cython_inline is None: 
            from Cython.Build.Inline import cython_inline as _cython_inline 
        return _cython_inline(f, *args, **kwds) 
    else: 
        assert len(args) == len(kwds) == 0 
        return f 

 
def compile(f):
    from Cython.Build.Inline import RuntimeCompiledFunction
    return RuntimeCompiledFunction(f)

 
# Special functions

def cdiv(a, b):
    q = a / b
    if q < 0:
        q += 1
    return q

def cmod(a, b):
    r = a % b
    if (a*b) < 0:
        r -= b
    return r


# Emulated language constructs

def cast(type, *args, **kwargs): 
    kwargs.pop('typecheck', None) 
    assert not kwargs 
    if hasattr(type, '__call__'):
        return type(*args)
    else:
        return args[0]

def sizeof(arg):
    return 1

def typeof(arg):
    return arg.__class__.__name__
    # return type(arg)

def address(arg):
    return pointer(type(arg))([arg])

def declare(type=None, value=_Unspecified, **kwds):
    if type not in (None, object) and hasattr(type, '__call__'):
        if value is not _Unspecified:
            return type(value)
        else:
            return type()
    else:
        return value

class _nogil(object):
    """Support for 'with nogil' statement and @nogil decorator. 
    """
    def __call__(self, x): 
        if callable(x): 
            # Used as function decorator => return the function unchanged. 
            return x 
        # Used as conditional context manager or to create an "@nogil(True/False)" decorator => keep going. 
        return self 
 
    def __enter__(self):
        pass
    def __exit__(self, exc_class, exc, tb):
        return exc_class is None

nogil = _nogil()
gil = _nogil()
del _nogil

 
# Emulated types

class CythonMetaType(type):

    def __getitem__(type, ix):
        return array(type, ix)

CythonTypeObject = CythonMetaType('CythonTypeObject', (object,), {})

class CythonType(CythonTypeObject):

    def _pointer(self, n=1):
        for i in range(n):
            self = pointer(self)
        return self

class PointerType(CythonType):

    def __init__(self, value=None):
        if isinstance(value, (ArrayType, PointerType)):
            self._items = [cast(self._basetype, a) for a in value._items]
        elif isinstance(value, list):
            self._items = [cast(self._basetype, a) for a in value]
        elif value is None or value == 0:
            self._items = []
        else:
            raise ValueError

    def __getitem__(self, ix):
        if ix < 0:
            raise IndexError("negative indexing not allowed in C")
        return self._items[ix]

    def __setitem__(self, ix, value):
        if ix < 0:
            raise IndexError("negative indexing not allowed in C")
        self._items[ix] = cast(self._basetype, value)

    def __eq__(self, value):
        if value is None and not self._items:
            return True
        elif type(self) != type(value):
            return False
        else:
            return not self._items and not value._items

    def __repr__(self):
        return "%s *" % (self._basetype,)

class ArrayType(PointerType):

    def __init__(self):
        self._items = [None] * self._n


class StructType(CythonType):

    def __init__(self, cast_from=_Unspecified, **data):
        if cast_from is not _Unspecified:
            # do cast
            if len(data) > 0:
                raise ValueError('Cannot accept keyword arguments when casting.')
            if type(cast_from) is not type(self):
                raise ValueError('Cannot cast from %s'%cast_from)
            for key, value in cast_from.__dict__.items():
                setattr(self, key, value)
        else:
            for key, value in data.items(): 
                setattr(self, key, value)

    def __setattr__(self, key, value):
        if key in self._members:
            self.__dict__[key] = cast(self._members[key], value)
        else:
            raise AttributeError("Struct has no member '%s'" % key)


class UnionType(CythonType):

    def __init__(self, cast_from=_Unspecified, **data):
        if cast_from is not _Unspecified:
            # do type cast
            if len(data) > 0:
                raise ValueError('Cannot accept keyword arguments when casting.')
            if isinstance(cast_from, dict):
                datadict = cast_from
            elif type(cast_from) is type(self):
                datadict = cast_from.__dict__
            else:
                raise ValueError('Cannot cast from %s'%cast_from)
        else:
            datadict = data
        if len(datadict) > 1:
            raise AttributeError("Union can only store one field at a time.")
        for key, value in datadict.items(): 
            setattr(self, key, value)

    def __setattr__(self, key, value):
        if key in '__dict__':
            CythonType.__setattr__(self, key, value)
        elif key in self._members:
            self.__dict__ = {key: cast(self._members[key], value)}
        else:
            raise AttributeError("Union has no member '%s'" % key)

def pointer(basetype):
    class PointerInstance(PointerType):
        _basetype = basetype
    return PointerInstance

def array(basetype, n):
    class ArrayInstance(ArrayType):
        _basetype = basetype
        _n = n
    return ArrayInstance

def struct(**members):
    class StructInstance(StructType):
        _members = members
    for key in members:
        setattr(StructInstance, key, None)
    return StructInstance

def union(**members):
    class UnionInstance(UnionType):
        _members = members
    for key in members:
        setattr(UnionInstance, key, None)
    return UnionInstance

class typedef(CythonType):

    def __init__(self, type, name=None):
        self._basetype = type
        self.name = name

    def __call__(self, *arg):
        value = cast(self._basetype, *arg)
        return value

    def __repr__(self):
        return self.name or str(self._basetype)

    __getitem__ = index_type

class _FusedType(CythonType):
    pass


def fused_type(*args):
    if not args:
        raise TypeError("Expected at least one type as argument")

    # Find the numeric type with biggest rank if all types are numeric
    rank = -1
    for type in args:
        if type not in (py_int, py_long, py_float, py_complex):
            break

        if type_ordering.index(type) > rank:
            result_type = type
    else:
        return result_type

    # Not a simple numeric type, return a fused type instance. The result
    # isn't really meant to be used, as we can't keep track of the context in
    # pure-mode. Casting won't do anything in this case.
    return _FusedType()


def _specialized_from_args(signatures, args, kwargs):
    "Perhaps this should be implemented in a TreeFragment in Cython code"
    raise Exception("yet to be implemented")


py_int = typedef(int, "int")
try:
    py_long = typedef(long, "long")
except NameError:  # Py3 
    py_long = typedef(int, "long")
py_float = typedef(float, "float")
py_complex = typedef(complex, "double complex")


# Predefined types

int_types = ['char', 'short', 'Py_UNICODE', 'int', 'Py_UCS4', 'long', 'longlong', 'Py_ssize_t', 'size_t']
float_types = ['longdouble', 'double', 'float']
complex_types = ['longdoublecomplex', 'doublecomplex', 'floatcomplex', 'complex']
other_types = ['bint', 'void', 'Py_tss_t']

to_repr = {
    'longlong': 'long long',
    'longdouble': 'long double',
    'longdoublecomplex': 'long double complex',
    'doublecomplex': 'double complex',
    'floatcomplex': 'float complex',
}.get

gs = globals()

# note: cannot simply name the unicode type here as 2to3 gets in the way and replaces it by str 
try: 
    import __builtin__ as builtins 
except ImportError:  # Py3 
    import builtins 
 
gs['unicode'] = typedef(getattr(builtins, 'unicode', str), 'unicode') 
del builtins 
 
for name in int_types:
    reprname = to_repr(name, name)
    gs[name] = typedef(py_int, reprname)
    if name not in ('Py_UNICODE', 'Py_UCS4') and not name.endswith('size_t'):
        gs['u'+name] = typedef(py_int, "unsigned " + reprname)
        gs['s'+name] = typedef(py_int, "signed " + reprname)

for name in float_types:
    gs[name] = typedef(py_float, to_repr(name, name))

for name in complex_types:
    gs[name] = typedef(py_complex, to_repr(name, name))

bint = typedef(bool, "bint")
void = typedef(None, "void")
Py_tss_t = typedef(None, "Py_tss_t")

for t in int_types + float_types + complex_types + other_types:
    for i in range(1, 4):
        gs["%s_%s" % ('p'*i, t)] = gs[t]._pointer(i)

NULL = gs['p_void'](0)

# looks like 'gs' has some users out there by now...
#del gs

integral = floating = numeric = _FusedType()

type_ordering = [py_int, py_long, py_float, py_complex]

class CythonDotParallel(object):
    """
    The cython.parallel module.
    """

    __all__ = ['parallel', 'prange', 'threadid']

    def parallel(self, num_threads=None):
        return nogil

    def prange(self, start=0, stop=None, step=1, nogil=False, schedule=None, chunksize=None, num_threads=None): 
        if stop is None:
            stop = start
            start = 0
        return range(start, stop, step)

    def threadid(self):
        return 0

    # def threadsavailable(self):
        # return 1

import sys
sys.modules['cython.parallel'] = CythonDotParallel()
del sys